PANDA (Preferential Attachment based common Neighbor Distribution derived Associations) was designed to perform the following tasks: (1) identify significantly functionally associated protein pairs, (2) predict GO and KEGG terms for proteins, (3) make a cluster of proteins based on the significant protein pairs, (4) identify subclusters whose members are enriched in KEGG-pathways.